修正希尔伯特变换的有效求值注释

IF 3.8 2区 数学 Q1 MATHEMATICS Journal of Numerical Mathematics Pub Date : 2020-06-30 DOI:10.1515/jnma-2019-0099
O. Steinbach, Marco Zank
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引用次数: 12

摘要

摘要本文考虑了各向异性Sobolev空间H1,1/2(Q)中抛物型演化方程的时空有限元离散化的改进Hilbert型变换的有效数据稀疏逼近。所得到的一阶时间导数的双线性形式是对称的和正定的,类似于二维拉普拉斯超奇异边界积分算子的分部积分公式。因此,我们可以将层次矩阵应用于数据稀疏表示和加速计算。数值结果表明,该方法在近似一阶时间导数时是有效的。考虑抛物型演化方程的一般时空有限元方法,以及各向异性Sobolev轨迹空间中有限元和边界元方法的稳定耦合,有效实现修正Hilbert变换是一个基本要素。
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A note on the efficient evaluation of a modified Hilbert transformation
Abstract In this note we consider an efficient data–sparse approximation of a modified Hilbert type transformation as it is used for the space–time finite element discretization of parabolic evolution equations in the anisotropic Sobolev space H1,1/2(Q). The resulting bilinear form of the first-order time derivative is symmetric and positive definite, and similar as the integration by parts formula for the Laplace hypersingular boundary integral operator in 2D. Hence we can apply hierarchical matrices for data–sparse representations and for acceleration of the computations. Numerical results show the efficiency in the approximation of the first-order time derivative. An efficient realisation of the modified Hilbert transformation is a basic ingredient when considering general space–time finite element methods for parabolic evolution equations, and for the stable coupling of finite and boundary element methods in anisotropic Sobolev trace spaces.
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来源期刊
CiteScore
5.90
自引率
3.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: The Journal of Numerical Mathematics (formerly East-West Journal of Numerical Mathematics) contains high-quality papers featuring contemporary research in all areas of Numerical Mathematics. This includes the development, analysis, and implementation of new and innovative methods in Numerical Linear Algebra, Numerical Analysis, Optimal Control/Optimization, and Scientific Computing. The journal will also publish applications-oriented papers with significant mathematical content in computational fluid dynamics and other areas of computational engineering, finance, and life sciences.
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